“…Pau, Tarquini, Iannitelli, and Allegorico (2021) (Pau, Tarquini, Iannitelli, & Allegorico, 2021) utilized NLP tech-niques for consistent troubleshooting insights in an M&D center, while Peshave et al (Peshave et al, 2022) evaluated approaches for vectorization of short-text case titles. Trilla, Mijatovic and Vilasis-Cardona (2022) (Trilla, Mijatovic, & Vilasis-Cardona, 2022) used TLP for troubleshooting in PHM and developed a failure ontology and a data-driven quality strategy. Pires, Leitao, Moreira and Ahmad (2023) (Pires, Leitão, Moreira, & Ahmad, 2023) compared different recommendation systems, including their own discrete event simulation model, and demonstrated improved user ratings over state-of-the-art recommendation systems.…”